Essays about: "Dirichlet distribution"
Showing result 1 - 5 of 18 essays containing the words Dirichlet distribution.
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1. Uncertainty quantification for neural network predictions
University essay from Umeå universitet/StatistikAbstract : Since their inception, machine learning methods have proven useful, and their usability continues to grow as new methods are introduced. However, as these methods are used for decision-making in most fields, such as weather forecasting,medicine, and stock market prediction, their reliability must be appropriately evaluated before the models are deployed. READ MORE
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2. Out-of-distribution Recognition and Classification of Time-Series Pulsed Radar Signals
University essay from KTH/Matematisk statistikAbstract : This thesis investigates out-of-distribution recognition for time-series data of pulsedradar signals. The classifier is a naive Bayesian classifier based on Gaussian mixturemodels and Dirichlet process mixture models. READ MORE
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3. Approximating Quasistationary Distributions Using Deep Learning
University essay from KTH/Matematisk statistikAbstract : We study a class of It\={o} diffusion processes on domains with smooth boundary, at which the process is killed. Such a process, when conditioned on non-extinction, gives rise to a stationary state known as a \emph{quasistationary distribution} (QSD). READ MORE
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4. Is there macroeconomic predictive power in Swedish business news?
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : This thesis explores if, and how, what is written in the newspaper can be used to forecast macroeconomic variables such as inflation, unemployment and consumption. A large data set consisting of articles from the largest Swedish business newspaper is transformed using different methods from the Natural Language Processing field. READ MORE
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5. Comparing and contrasting the dissemination cascades of different topics in a social network : What are the lifetimes of different topics and how do they spread
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The web has granted everyone the opportunity to freely share large amounts of data. Individuals, corporations, and communities have made the web an important tool in their arsenal. These entities are spreading information online, but not all of it is constructive. READ MORE
